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Linear truth directions in LLMs are reliable primarily for simple factual retrieval and break down as soon as truth assessment requires tracking intermediate results—a finding that sharply constrains universality claims made by Marks & Tegmark (2024)…

Contrastive activation steering can suppress evaluation-awareness and elicit genuine deployment behavior from a deliberately trained model organism, not merely silence verbalizations of being tested. Working with Llama 3.3 Nemotron Super 49B, the aut…

Propositional truth in LLMs is not encoded as a single linear direction but as a multi-dimensional subspace that can be characterized by concept cones—sets of all nonnegative linear combinations of orthonormal basis vectors, each of which independent…

Model Alignment Search (MAS) establishes bidirectional causal similarity between neural networks by learning a per-model orthogonal rotation matrix that isolates behaviorally relevant subspaces and uses interchange interventions — patching those subs…

pyvene is an open-source Python library that unifies intervention-based research on PyTorch neural models by treating the intervention itself—rather than model surgery code—as the primitive abstraction, expressed in a serializable dict-based configur…

Consciousness is a coherence-maximizing pattern implemented through self-organized second-order perception in self-organizing substrates — this is the core claim of the Machine Consciousness Hypothesis (MCH) advanced by the California Institute for M…

Joscha Bach and Hikari Sorensen argue that consciousness is neither irreducibly mysterious nor epiphenomenal, but is the simplest biological learning algorithm discoverable by evolutionary search on self-organizing substrates — and that this algorith…